Overview

Dataset statistics

Number of variables30
Number of observations28782
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.6 MiB
Average record size in memory349.8 B

Variable types

NUM26
CAT2
DATE1
BOOL1

Warnings

respiración asistida has constant value "28782" Constant
Code provincia alpha has a high cardinality: 54 distinct values High cardinality
infectados is highly correlated with coronavirusHigh correlation
coronavirus is highly correlated with infectadosHigh correlation
Code provincia alpha is highly correlated with Code comunidad autónoma alphaHigh correlation
Code comunidad autónoma alpha is highly correlated with Code provincia alphaHigh correlation
Code provincia alpha is uniformly distributed Uniform
ambulancia has 3587 (12.5%) zeros Zeros
astrazeneca has 10353 (36.0%) zeros Zeros
cementerio has 1314 (4.6%) zeros Zeros
confinamiento has 15265 (53.0%) zeros Zeros
coronavirus has 442 (1.5%) zeros Zeros
covid has 3081 (10.7%) zeros Zeros
enferma has 7204 (25.0%) zeros Zeros
enfermo has 2082 (7.2%) zeros Zeros
enfermo terminal has 25837 (89.8%) zeros Zeros
entubado has 22764 (79.1%) zeros Zeros
fiebre has 581 (2.0%) zeros Zeros
infectados has 3212 (11.2%) zeros Zeros
janssen has 14638 (50.9%) zeros Zeros
paliativos has 8062 (28.0%) zeros Zeros
pandemia has 1800 (6.3%) zeros Zeros
pfizer has 10071 (35.0%) zeros Zeros
sars has 5609 (19.5%) zeros Zeros
tanatorio has 1068 (3.7%) zeros Zeros
toque de queda has 11375 (39.5%) zeros Zeros
tos has 1152 (4.0%) zeros Zeros
uci has 2377 (8.3%) zeros Zeros
vacuna has 4630 (16.1%) zeros Zeros

Reproduction

Analysis started2021-07-17 17:56:54.851017
Analysis finished2021-07-17 17:58:08.698731
Duration1 minute and 13.85 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

fecha
Date

Distinct533
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size449.7 KiB
Minimum2020-01-05 00:00:00
Maximum2021-06-20 00:00:00
2021-07-17T19:58:08.759700image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:08.884732image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

ambulancia
Real number (ℝ≥0)

ZEROS

Distinct1435
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.64931207
Minimum0
Maximum100
Zeros3587
Zeros (%)12.5%
Memory size449.7 KiB
2021-07-17T19:58:09.016701image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q113
median27.85714286
Q343.85714286
95-th percentile69.28571429
Maximum100
Range100
Interquartile range (IQR)30.85714286

Descriptive statistics

Standard deviation21.75560263
Coefficient of variation (CV)0.7337641623
Kurtosis-0.2239085077
Mean29.64931207
Median Absolute Deviation (MAD)15.45733012
Skewness0.5485683614
Sum853366.5
Variance473.3062459
MonotocityNot monotonic
2021-07-17T19:58:09.140732image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0358712.5%
 
203561.2%
 
173331.2%
 
163251.1%
 
192710.9%
 
212120.7%
 
372050.7%
 
421830.6%
 
321770.6%
 
331750.6%
 
451640.6%
 
151620.6%
 
301540.5%
 
241450.5%
 
361430.5%
 
221430.5%
 
11.428571431420.5%
 
17.142857141410.5%
 
81400.5%
 
391370.5%
 
401360.5%
 
121320.5%
 
141300.5%
 
271250.4%
 
281240.4%
 
Other values (1410)2084072.4%
 
ValueCountFrequency (%) 
0358712.5%
 
0.031835205991< 0.1%
 
0.063670411991< 0.1%
 
0.095505617981< 0.1%
 
0.1273408241< 0.1%
 
0.159176031< 0.1%
 
0.1910112361< 0.1%
 
0.22284644191< 0.1%
 
0.25468164791< 0.1%
 
0.28651685391< 0.1%
 
ValueCountFrequency (%) 
100540.2%
 
99.571428572< 0.1%
 
99.142857142< 0.1%
 
992< 0.1%
 
98.714285712< 0.1%
 
98.285714292< 0.1%
 
982< 0.1%
 
97.857142863< 0.1%
 
97.428571432< 0.1%
 
975< 0.1%
 

astrazeneca
Real number (ℝ≥0)

ZEROS

Distinct721
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.125981516
Minimum0
Maximum100
Zeros10353
Zeros (%)36.0%
Memory size449.7 KiB
2021-07-17T19:58:09.281698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q310.28571429
95-th percentile49.14285714
Maximum100
Range100
Interquartile range (IQR)10.28571429

Descriptive statistics

Standard deviation17.40144358
Coefficient of variation (CV)1.906802413
Kurtosis6.036032584
Mean9.125981516
Median Absolute Deviation (MAD)1
Skewness2.438797613
Sum262664
Variance302.8102386
MonotocityNot monotonic
2021-07-17T19:58:09.421698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01035336.0%
 
125498.9%
 
0.57142857146132.1%
 
25001.7%
 
0.85714285713991.4%
 
0.28571428573611.3%
 
0.85714285713581.2%
 
1.1428571433471.2%
 
0.28571428573281.1%
 
0.42857142863251.1%
 
1.8571428572951.0%
 
0.71428571432881.0%
 
0.14285714292881.0%
 
1.4285714292720.9%
 
1.5714285712470.9%
 
0.71428571432430.8%
 
0.42857142862380.8%
 
0.14285714292380.8%
 
2.1428571432240.8%
 
1.7142857142200.8%
 
1.7142857142180.8%
 
1.2857142861970.7%
 
31840.6%
 
2.7142857141700.6%
 
1.2857142861560.5%
 
Other values (696)917131.9%
 
ValueCountFrequency (%) 
01035336.0%
 
0.14285714292881.0%
 
0.14285714292380.8%
 
0.28571428573611.3%
 
0.28571428573281.1%
 
0.42857142863251.1%
 
0.42857142862380.8%
 
0.4285714286300.1%
 
0.57142857146132.1%
 
0.57142857141020.4%
 
ValueCountFrequency (%) 
100240.1%
 
996< 0.1%
 
96.857142861< 0.1%
 
96.285714293< 0.1%
 
964< 0.1%
 
94.714285711< 0.1%
 
94.428571433< 0.1%
 
94.285714291< 0.1%
 
941< 0.1%
 
93.857142861< 0.1%
 

cementerio
Real number (ℝ≥0)

ZEROS

Distinct250
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.378743659
Minimum0
Maximum32
Zeros1314
Zeros (%)4.6%
Memory size449.7 KiB
2021-07-17T19:58:09.578212image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5714285714
Q12.571428571
median4
Q35.428571429
95-th percentile9.428571429
Maximum32
Range32
Interquartile range (IQR)2.857142857

Descriptive statistics

Standard deviation3.095946689
Coefficient of variation (CV)0.7070399479
Kurtosis12.07772802
Mean4.378743659
Median Absolute Deviation (MAD)1.428571429
Skewness2.523280418
Sum126029
Variance9.5848859
MonotocityNot monotonic
2021-07-17T19:58:09.707210image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
317566.1%
 
215835.5%
 
414845.2%
 
013144.6%
 
513114.6%
 
67312.5%
 
77272.5%
 
2.8571428576632.3%
 
4.7142857146592.3%
 
3.7142857146392.2%
 
2.2857142866122.1%
 
4.5714285716122.1%
 
4.4285714296052.1%
 
4.2857142865902.0%
 
3.1428571435662.0%
 
3.8571428575441.9%
 
3.2857142865371.9%
 
2.7142857145031.7%
 
4.1428571434901.7%
 
2.1428571434521.6%
 
4.8571428574041.4%
 
5.2857142863671.3%
 
5.5714285713491.2%
 
3.4285714293421.2%
 
13241.1%
 
Other values (225)1061836.9%
 
ValueCountFrequency (%) 
013144.6%
 
0.2857142857390.1%
 
0.2857142857320.1%
 
0.4285714286210.1%
 
0.4285714286150.1%
 
0.5714285714540.2%
 
0.5714285714620.2%
 
0.71428571438< 0.1%
 
0.71428571435< 0.1%
 
0.8571428571690.2%
 
ValueCountFrequency (%) 
328< 0.1%
 
301< 0.1%
 
29.571428578< 0.1%
 
29.142857148< 0.1%
 
27.428571431< 0.1%
 
27.142857148< 0.1%
 
274< 0.1%
 
26.285714298< 0.1%
 
261< 0.1%
 
25.857142863< 0.1%
 

confinamiento
Real number (ℝ≥0)

ZEROS

Distinct76
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6230977694
Minimum0
Maximum9
Zeros15265
Zeros (%)53.0%
Memory size449.7 KiB
2021-07-17T19:58:09.852210image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2.571428571
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9006981679
Coefficient of variation (CV)1.445516598
Kurtosis3.694270098
Mean0.6230977694
Median Absolute Deviation (MAD)0
Skewness1.759370382
Sum17934
Variance0.8112571896
MonotocityNot monotonic
2021-07-17T19:58:09.978210image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01526553.0%
 
1454515.8%
 
211944.1%
 
0.57142857146442.2%
 
34731.6%
 
0.85714285713281.1%
 
0.85714285713271.1%
 
0.28571428573261.1%
 
0.28571428573261.1%
 
0.14285714293171.1%
 
0.42857142863171.1%
 
0.71428571433171.1%
 
0.42857142863101.1%
 
0.71428571433081.1%
 
0.14285714293081.1%
 
1.8571428573051.1%
 
1.5714285712700.9%
 
1.1428571432690.9%
 
1.4285714292540.9%
 
2.7142857142280.8%
 
2.1428571432140.7%
 
2.2857142861890.7%
 
2.8571428571720.6%
 
1.2857142861490.5%
 
1.2857142861420.5%
 
Other values (51)12854.5%
 
ValueCountFrequency (%) 
01526553.0%
 
0.14285714293081.1%
 
0.14285714293171.1%
 
0.28571428573261.1%
 
0.28571428573261.1%
 
0.42857142863101.1%
 
0.42857142863171.1%
 
0.42857142861< 0.1%
 
0.57142857146442.2%
 
0.571428571410< 0.1%
 
ValueCountFrequency (%) 
91< 0.1%
 
8.4285714291< 0.1%
 
8.2857142861< 0.1%
 
7.8571428571< 0.1%
 
7.5714285711< 0.1%
 
7.2857142861< 0.1%
 
6.8571428571< 0.1%
 
6.7142857141< 0.1%
 
6.1428571432< 0.1%
 
66< 0.1%
 

coronavirus
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct710
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.08164825
Minimum0
Maximum100
Zeros442
Zeros (%)1.5%
Memory size449.7 KiB
2021-07-17T19:58:10.107210image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.142857143
Q15
median8.428571429
Q312.71428571
95-th percentile55.71428571
Maximum100
Range100
Interquartile range (IQR)7.714285714

Descriptive statistics

Standard deviation18.11261232
Coefficient of variation (CV)1.286256551
Kurtosis8.779475665
Mean14.08164825
Median Absolute Deviation (MAD)3.714285714
Skewness2.922433682
Sum405298
Variance328.066725
MonotocityNot monotonic
2021-07-17T19:58:10.230246image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
416015.6%
 
314675.1%
 
612904.5%
 
510933.8%
 
96962.4%
 
86752.3%
 
106442.2%
 
76332.2%
 
115652.0%
 
24621.6%
 
04421.5%
 
123031.1%
 
9.8571428572781.0%
 
9.2857142862680.9%
 
9.5714285712630.9%
 
8.8571428572620.9%
 
8.4285714292590.9%
 
9.4285714292550.9%
 
132540.9%
 
8.1428571432470.9%
 
8.5714285712390.8%
 
8.7142857142310.8%
 
9.1428571432280.8%
 
8.2857142862150.7%
 
10.142857142140.7%
 
Other values (685)1569854.5%
 
ValueCountFrequency (%) 
04421.5%
 
0.14285714294< 0.1%
 
0.14285714292< 0.1%
 
0.2857142857520.2%
 
0.28571428572< 0.1%
 
0.42857142869< 0.1%
 
0.42857142862< 0.1%
 
0.42857142861< 0.1%
 
0.5714285714540.2%
 
0.71428571434< 0.1%
 
ValueCountFrequency (%) 
100820.3%
 
99.7142857113< 0.1%
 
99.571428572< 0.1%
 
99.4285714313< 0.1%
 
99.14285714300.1%
 
991< 0.1%
 
98.8571428613< 0.1%
 
98.7142857110< 0.1%
 
98.5714285714< 0.1%
 
98.428571433< 0.1%
 

covid
Real number (ℝ≥0)

ZEROS

Distinct160
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.656451949
Minimum0
Maximum18
Zeros3081
Zeros (%)10.7%
Memory size449.7 KiB
2021-07-17T19:58:10.351933image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median5.857142857
Q37.142857143
95-th percentile10.71428571
Maximum18
Range18
Interquartile range (IQR)3.142857143

Descriptive statistics

Standard deviation3.029251763
Coefficient of variation (CV)0.535539202
Kurtosis0.5429442804
Mean5.656451949
Median Absolute Deviation (MAD)1.857142857
Skewness0.1128162552
Sum162804
Variance9.176366244
MonotocityNot monotonic
2021-07-17T19:58:10.477726image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0308110.7%
 
522317.8%
 
421977.6%
 
721007.3%
 
618306.4%
 
311083.8%
 
89463.3%
 
96432.2%
 
6.2857142865041.8%
 
6.5714285714961.7%
 
6.7142857144891.7%
 
6.4285714294781.7%
 
6.8571428574481.6%
 
6.1428571434051.4%
 
5.4285714293931.4%
 
5.7142857143731.3%
 
5.5714285713651.3%
 
5.2857142863621.3%
 
5.8571428573511.2%
 
4.2857142863341.2%
 
4.5714285713251.1%
 
103231.1%
 
5.1428571433211.1%
 
7.5714285712891.0%
 
7.2857142862871.0%
 
Other values (135)810328.2%
 
ValueCountFrequency (%) 
0308110.7%
 
0.14285714291< 0.1%
 
0.2857142857470.2%
 
0.42857142867< 0.1%
 
0.42857142862< 0.1%
 
0.5714285714480.2%
 
0.57142857141< 0.1%
 
0.71428571431< 0.1%
 
0.71428571432< 0.1%
 
0.8571428571530.2%
 
ValueCountFrequency (%) 
182< 0.1%
 
17.714285712< 0.1%
 
17.428571434< 0.1%
 
17.142857142< 0.1%
 
16.857142864< 0.1%
 
16.571428572< 0.1%
 
16.285714294< 0.1%
 
1613< 0.1%
 
15.85714286190.1%
 
15.714285712< 0.1%
 

dolor
Real number (ℝ≥0)

Distinct820
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.81912306
Minimum0
Maximum100
Zeros34
Zeros (%)0.1%
Memory size449.7 KiB
2021-07-17T19:58:10.610760image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20.85714286
Q146.71428571
median57
Q364
95-th percentile73.71428571
Maximum100
Range100
Interquartile range (IQR)17.28571429

Descriptive statistics

Standard deviation15.35310529
Coefficient of variation (CV)0.285272305
Kurtosis0.4920711367
Mean53.81912306
Median Absolute Deviation (MAD)8.142857143
Skewness-0.7728949335
Sum1549022
Variance235.717842
MonotocityNot monotonic
2021-07-17T19:58:10.767730image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
614211.5%
 
623621.3%
 
542931.0%
 
582881.0%
 
632871.0%
 
572741.0%
 
662630.9%
 
652540.9%
 
592120.7%
 
552070.7%
 
672000.7%
 
691910.7%
 
681900.7%
 
601890.7%
 
54.571428571870.6%
 
521870.6%
 
63.285714291860.6%
 
561770.6%
 
491750.6%
 
641730.6%
 
56.285714291580.5%
 
56.857142861540.5%
 
55.714285711510.5%
 
64.142857141500.5%
 
58.285714291500.5%
 
Other values (795)2330381.0%
 
ValueCountFrequency (%) 
0340.1%
 
21< 0.1%
 
2.1428571431< 0.1%
 
2.2857142861< 0.1%
 
2.2857142861< 0.1%
 
2.4285714291< 0.1%
 
2.7142857142< 0.1%
 
31< 0.1%
 
3.8571428571< 0.1%
 
42< 0.1%
 
ValueCountFrequency (%) 
10011< 0.1%
 
99.857142861< 0.1%
 
99.714285711< 0.1%
 
99.571428571< 0.1%
 
99.428571431< 0.1%
 
99.285714291< 0.1%
 
99.142857141< 0.1%
 
991< 0.1%
 
98.142857142< 0.1%
 
981< 0.1%
 

enferma
Real number (ℝ≥0)

ZEROS

Distinct425
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.561392537
Minimum0
Maximum80
Zeros7204
Zeros (%)25.0%
Memory size449.7 KiB
2021-07-17T19:58:10.910726image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6.428571429
Q311.42857143
95-th percentile21.14285714
Maximum80
Range80
Interquartile range (IQR)11.42857143

Descriptive statistics

Standard deviation7.472467838
Coefficient of variation (CV)0.98823964
Kurtosis4.829475668
Mean7.561392537
Median Absolute Deviation (MAD)5.285714286
Skewness1.607257841
Sum217632
Variance55.83777559
MonotocityNot monotonic
2021-07-17T19:58:11.046261image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0720425.0%
 
911263.9%
 
137412.6%
 
65672.0%
 
84741.6%
 
124261.5%
 
8.5714285714061.4%
 
6.4285714294021.4%
 
53871.3%
 
33731.3%
 
43431.2%
 
103411.2%
 
23001.0%
 
11.142857142600.9%
 
152470.9%
 
7.7142857142390.8%
 
9.4285714292350.8%
 
4.2857142862300.8%
 
5.7142857142150.7%
 
5.1428571432050.7%
 
5.1428571432030.7%
 
71960.7%
 
2.5714285711920.7%
 
8.1428571431800.6%
 
5.5714285711790.6%
 
Other values (400)1311145.6%
 
ValueCountFrequency (%) 
0720425.0%
 
0.57142857144< 0.1%
 
0.57142857148< 0.1%
 
0.7142857143240.1%
 
0.7142857143320.1%
 
0.857142857112< 0.1%
 
0.857142857112< 0.1%
 
1240.1%
 
1.142857143660.2%
 
1.142857143530.2%
 
ValueCountFrequency (%) 
801< 0.1%
 
692< 0.1%
 
68.571428572< 0.1%
 
662< 0.1%
 
642< 0.1%
 
59.142857142< 0.1%
 
592< 0.1%
 
57.142857141< 0.1%
 
57.142857141< 0.1%
 
56.571428574< 0.1%
 

enfermo
Real number (ℝ≥0)

ZEROS

Distinct811
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.0427003
Minimum0
Maximum100
Zeros2082
Zeros (%)7.2%
Memory size449.7 KiB
2021-07-17T19:58:11.173346image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114.57142857
median24.28571429
Q336
95-th percentile56
Maximum100
Range100
Interquartile range (IQR)21.42857143

Descriptive statistics

Standard deviation16.56217847
Coefficient of variation (CV)0.6359624108
Kurtosis0.7692715141
Mean26.0427003
Median Absolute Deviation (MAD)10.28571429
Skewness0.7333160359
Sum749561
Variance274.3057555
MonotocityNot monotonic
2021-07-17T19:58:11.293655image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
020827.2%
 
183481.2%
 
272821.0%
 
202781.0%
 
142470.9%
 
92450.9%
 
152170.8%
 
262160.8%
 
132090.7%
 
192040.7%
 
12.857142861990.7%
 
371930.7%
 
251910.7%
 
161830.6%
 
17.142857141730.6%
 
81670.6%
 
121520.5%
 
171440.5%
 
211430.5%
 
28.285714291410.5%
 
16.714285711400.5%
 
101380.5%
 
11.428571431360.5%
 
241360.5%
 
231310.5%
 
Other values (786)2208776.7%
 
ValueCountFrequency (%) 
020827.2%
 
0.71428571434< 0.1%
 
0.71428571434< 0.1%
 
1.4285714294< 0.1%
 
1.4285714298< 0.1%
 
1.4285714294< 0.1%
 
1.7142857146< 0.1%
 
1.7142857147< 0.1%
 
1.857142857160.1%
 
1.8571428579< 0.1%
 
ValueCountFrequency (%) 
10012< 0.1%
 
983< 0.1%
 
9710< 0.1%
 
965< 0.1%
 
941< 0.1%
 
931< 0.1%
 
92.714285716< 0.1%
 
92.428571433< 0.1%
 
90.428571431< 0.1%
 
90.285714292< 0.1%
 

enfermo terminal
Real number (ℝ≥0)

ZEROS

Distinct58
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2242373706
Minimum0
Maximum9
Zeros25837
Zeros (%)89.8%
Memory size449.7 KiB
2021-07-17T19:58:11.419744image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.142857143
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8023187447
Coefficient of variation (CV)3.577988551
Kurtosis24.53810658
Mean0.2242373706
Median Absolute Deviation (MAD)0
Skewness4.513443735
Sum6454
Variance0.6437153681
MonotocityNot monotonic
2021-07-17T19:58:11.537744image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02583789.8%
 
35812.0%
 
2.1428571432210.8%
 
1.7142857141670.6%
 
1.7142857141650.6%
 
0.85714285711550.5%
 
2.5714285711390.5%
 
0.85714285711380.5%
 
2.5714285711350.5%
 
1.2857142861180.4%
 
0.42857142861100.4%
 
0.42857142861080.4%
 
1.2857142861070.4%
 
1.142857143650.2%
 
2610.2%
 
4.285714286440.2%
 
0.5714285714400.1%
 
6390.1%
 
0.5714285714370.1%
 
1.428571429310.1%
 
3.428571429310.1%
 
3.428571429310.1%
 
4300.1%
 
0.2857142857280.1%
 
5.142857143280.1%
 
Other values (33)3361.2%
 
ValueCountFrequency (%) 
02583789.8%
 
0.14285714291< 0.1%
 
0.14285714291< 0.1%
 
0.2857142857280.1%
 
0.2857142857280.1%
 
0.42857142861080.4%
 
0.42857142861< 0.1%
 
0.42857142861100.4%
 
0.5714285714400.1%
 
0.5714285714370.1%
 
ValueCountFrequency (%) 
98< 0.1%
 
7.7142857148< 0.1%
 
7.7142857148< 0.1%
 
711< 0.1%
 
6.428571429190.1%
 
6390.1%
 
5.8571428573< 0.1%
 
5.2857142863< 0.1%
 
5.142857143280.1%
 
5.142857143280.1%
 

entubado
Real number (ℝ≥0)

ZEROS

Distinct145
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7348342714
Minimum0
Maximum42
Zeros22764
Zeros (%)79.1%
Memory size449.7 KiB
2021-07-17T19:58:11.662744image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum42
Range42
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.064999
Coefficient of variation (CV)2.810156086
Kurtosis66.96534318
Mean0.7348342714
Median Absolute Deviation (MAD)0
Skewness6.041941257
Sum21150
Variance4.26422087
MonotocityNot monotonic
2021-07-17T19:58:11.786744image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02276479.1%
 
35211.8%
 
23391.2%
 
2.1428571432630.9%
 
42400.8%
 
62390.8%
 
1.7142857142130.7%
 
1.7142857142130.7%
 
2.5714285712020.7%
 
2.5714285711930.7%
 
4.2857142861910.7%
 
0.85714285711840.6%
 
51830.6%
 
11630.6%
 
71570.5%
 
1.2857142861340.5%
 
3.4285714291320.5%
 
0.85714285711280.4%
 
3.4285714291260.4%
 
0.42857142861130.4%
 
1.2857142861120.4%
 
0.42857142861110.4%
 
5.1428571431020.4%
 
5.1428571431000.3%
 
1.142857143900.3%
 
Other values (120)15695.5%
 
ValueCountFrequency (%) 
02276479.1%
 
0.14285714291< 0.1%
 
0.14285714291< 0.1%
 
0.2857142857160.1%
 
0.2857142857170.1%
 
0.42857142861130.4%
 
0.42857142861< 0.1%
 
0.42857142861110.4%
 
0.5714285714470.2%
 
0.5714285714380.1%
 
ValueCountFrequency (%) 
422< 0.1%
 
402< 0.1%
 
364< 0.1%
 
34.285714294< 0.1%
 
304< 0.1%
 
28.571428572< 0.1%
 
28.571428572< 0.1%
 
244< 0.1%
 
22.857142864< 0.1%
 
204< 0.1%
 

fiebre
Real number (ℝ≥0)

ZEROS

Distinct399
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.83753735
Minimum0
Maximum100
Zeros581
Zeros (%)2.0%
Memory size449.7 KiB
2021-07-17T19:58:11.912743image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.285714286
Q16
median8.571428571
Q311.71428571
95-th percentile21
Maximum100
Range100
Interquartile range (IQR)5.714285714

Descriptive statistics

Standard deviation6.174912241
Coefficient of variation (CV)0.627688823
Kurtosis10.18856225
Mean9.83753735
Median Absolute Deviation (MAD)2.571428571
Skewness2.334575493
Sum283144
Variance38.12954118
MonotocityNot monotonic
2021-07-17T19:58:12.043744image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
611844.1%
 
710103.5%
 
89843.4%
 
117522.6%
 
57192.5%
 
96612.3%
 
05812.0%
 
45071.8%
 
104801.7%
 
134151.4%
 
5.7142857144121.4%
 
6.4285714293951.4%
 
8.5714285713721.3%
 
8.1428571433571.2%
 
6.5714285713421.2%
 
9.8571428573251.1%
 
6.7142857143231.1%
 
8.4285714293231.1%
 
9.5714285713191.1%
 
8.8571428573181.1%
 
7.5714285713141.1%
 
5.5714285713101.1%
 
123001.0%
 
5.4285714292981.0%
 
9.2857142862961.0%
 
Other values (374)1648557.3%
 
ValueCountFrequency (%) 
05812.0%
 
0.42857142863< 0.1%
 
0.42857142869< 0.1%
 
0.57142857144< 0.1%
 
0.57142857142< 0.1%
 
0.85714285715< 0.1%
 
0.85714285719< 0.1%
 
0.85714285711< 0.1%
 
1220.1%
 
1.1428571434< 0.1%
 
ValueCountFrequency (%) 
1001< 0.1%
 
85.714285711< 0.1%
 
85.714285711< 0.1%
 
71.428571432< 0.1%
 
57.142857141< 0.1%
 
57.142857141< 0.1%
 
503< 0.1%
 
483< 0.1%
 
476< 0.1%
 
46.285714291< 0.1%
 

hospital
Real number (ℝ≥0)

Distinct829
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.01931763
Minimum0
Maximum100
Zeros150
Zeros (%)0.5%
Memory size449.7 KiB
2021-07-17T19:58:12.166744image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.14285714
Q139.42857143
median52.28571429
Q361.57142857
95-th percentile73.14285714
Maximum100
Range100
Interquartile range (IQR)22.14285714

Descriptive statistics

Standard deviation18.06222672
Coefficient of variation (CV)0.3684716066
Kurtosis0.02013803307
Mean49.01931763
Median Absolute Deviation (MAD)10.28571429
Skewness-0.4090271514
Sum1410874
Variance326.2440341
MonotocityNot monotonic
2021-07-17T19:58:12.292837image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
633001.0%
 
582560.9%
 
622520.9%
 
562270.8%
 
552200.8%
 
682140.7%
 
601990.7%
 
591940.7%
 
641930.7%
 
571650.6%
 
441640.6%
 
521630.6%
 
541570.5%
 
651530.5%
 
01500.5%
 
611490.5%
 
61.714285711470.5%
 
531460.5%
 
53.571428571460.5%
 
57.285714291430.5%
 
451400.5%
 
61.571428571400.5%
 
671310.5%
 
58.571428571300.5%
 
511290.4%
 
Other values (804)2437484.7%
 
ValueCountFrequency (%) 
01500.5%
 
1.7142857141< 0.1%
 
1.8571428571< 0.1%
 
1.8571428571< 0.1%
 
23< 0.1%
 
2.1428571432< 0.1%
 
2.1428571432< 0.1%
 
2.2857142862< 0.1%
 
2.4285714293< 0.1%
 
2.4285714292< 0.1%
 
ValueCountFrequency (%) 
100370.1%
 
99.2857142911< 0.1%
 
993< 0.1%
 
98.5714285711< 0.1%
 
98.285714295< 0.1%
 
987< 0.1%
 
97.85714286190.1%
 
97.7142857114< 0.1%
 
97.1428571411< 0.1%
 
973< 0.1%
 

infectados
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct612
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.852373011
Minimum0
Maximum100
Zeros3212
Zeros (%)11.2%
Memory size449.7 KiB
2021-07-17T19:58:12.418326image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2.285714286
Q34.571428571
95-th percentile35.14285714
Maximum100
Range100
Interquartile range (IQR)3.571428571

Descriptive statistics

Standard deviation15.02338629
Coefficient of variation (CV)2.192435564
Kurtosis16.60052144
Mean6.852373011
Median Absolute Deviation (MAD)1.428571429
Skewness3.988108367
Sum197225
Variance225.7021355
MonotocityNot monotonic
2021-07-17T19:58:12.540401image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0321211.2%
 
122267.7%
 
221547.5%
 
312004.2%
 
46072.1%
 
1.8571428575702.0%
 
2.2857142865561.9%
 
1.1428571435301.8%
 
2.8571428575151.8%
 
2.1428571434881.7%
 
2.7142857144821.7%
 
0.57142857144661.6%
 
1.4285714294601.6%
 
3.1428571434301.5%
 
3.7142857144291.5%
 
1.5714285714161.4%
 
1.7142857143591.2%
 
1.7142857143241.1%
 
1.2857142863231.1%
 
2.5714285713041.1%
 
0.85714285712951.0%
 
0.85714285712901.0%
 
52751.0%
 
1.2857142862700.9%
 
0.28571428572530.9%
 
Other values (587)1134839.4%
 
ValueCountFrequency (%) 
0321211.2%
 
0.14285714291730.6%
 
0.14285714291690.6%
 
0.28571428572530.9%
 
0.28571428572380.8%
 
0.42857142862100.7%
 
0.42857142861690.6%
 
0.4285714286520.2%
 
0.57142857144661.6%
 
0.57142857141050.4%
 
ValueCountFrequency (%) 
100290.1%
 
993< 0.1%
 
98.714285711< 0.1%
 
981< 0.1%
 
97.428571431< 0.1%
 
96.428571433< 0.1%
 
96.285714298< 0.1%
 
96.285714294< 0.1%
 
96.142857141< 0.1%
 
9610< 0.1%
 

janssen
Real number (ℝ≥0)

ZEROS

Distinct296
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.094642485
Minimum0
Maximum40
Zeros14638
Zeros (%)50.9%
Memory size449.7 KiB
2021-07-17T19:58:12.661373image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.142857143
95-th percentile13
Maximum40
Range40
Interquartile range (IQR)1.142857143

Descriptive statistics

Standard deviation4.55969692
Coefficient of variation (CV)2.176837791
Kurtosis10.42505799
Mean2.094642485
Median Absolute Deviation (MAD)0
Skewness3.042322109
Sum60288
Variance20.790836
MonotocityNot monotonic
2021-07-17T19:58:12.789416image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01463850.9%
 
117406.0%
 
0.57142857148663.0%
 
0.85714285714811.7%
 
0.28571428574671.6%
 
0.85714285714521.6%
 
0.28571428574441.5%
 
0.42857142864001.4%
 
0.71428571433911.4%
 
0.14285714293881.3%
 
0.71428571433881.3%
 
23851.3%
 
0.14285714293801.3%
 
0.42857142863801.3%
 
1.1428571432310.8%
 
41900.7%
 
1.8571428571530.5%
 
31530.5%
 
1.4285714291500.5%
 
1.7142857141490.5%
 
111420.5%
 
2.1428571431350.5%
 
2.7142857141240.4%
 
1.7142857141230.4%
 
81170.4%
 
Other values (271)531518.5%
 
ValueCountFrequency (%) 
01463850.9%
 
0.14285714293881.3%
 
0.14285714293801.3%
 
0.28571428574671.6%
 
0.28571428574441.5%
 
0.42857142864001.4%
 
0.42857142863801.3%
 
0.42857142868< 0.1%
 
0.57142857148663.0%
 
0.5714285714840.3%
 
ValueCountFrequency (%) 
401< 0.1%
 
37.285714291< 0.1%
 
364< 0.1%
 
34.857142864< 0.1%
 
34.571428571< 0.1%
 
34.285714291< 0.1%
 
342< 0.1%
 
33.714285714< 0.1%
 
332< 0.1%
 
32.714285712< 0.1%
 

muerte
Real number (ℝ≥0)

Distinct592
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.64151206
Minimum0
Maximum100
Zeros242
Zeros (%)0.8%
Memory size449.7 KiB
2021-07-17T19:58:12.920450image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.42857143
Q122.85714286
median27
Q332
95-th percentile41.28571429
Maximum100
Range100
Interquartile range (IQR)9.142857143

Descriptive statistics

Standard deviation8.187527289
Coefficient of variation (CV)0.2962040308
Kurtosis3.861661403
Mean27.64151206
Median Absolute Deviation (MAD)4.571428571
Skewness0.5568127466
Sum795578
Variance67.0356031
MonotocityNot monotonic
2021-07-17T19:58:13.038416image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
235591.9%
 
275031.7%
 
255011.7%
 
304181.5%
 
283581.2%
 
313401.2%
 
263381.2%
 
243091.1%
 
23.857142862861.0%
 
292851.0%
 
222851.0%
 
202841.0%
 
212781.0%
 
322781.0%
 
332570.9%
 
28.857142862560.9%
 
24.142857142520.9%
 
352470.9%
 
28.285714292470.9%
 
192450.9%
 
27.285714292440.8%
 
02420.8%
 
27.714285712360.8%
 
29.142857142260.8%
 
28.142857142240.8%
 
Other values (567)2108473.3%
 
ValueCountFrequency (%) 
02420.8%
 
2.2857142861< 0.1%
 
2.7142857143< 0.1%
 
2.7142857141< 0.1%
 
2.8571428574< 0.1%
 
2.8571428575< 0.1%
 
34< 0.1%
 
3.1428571431< 0.1%
 
3.1428571432< 0.1%
 
3.2857142861< 0.1%
 
ValueCountFrequency (%) 
1001< 0.1%
 
971< 0.1%
 
901< 0.1%
 
89.571428571< 0.1%
 
89.285714291< 0.1%
 
86.571428571< 0.1%
 
86.285714291< 0.1%
 
85.142857141< 0.1%
 
851< 0.1%
 
83.142857141< 0.1%
 

paliativos
Real number (ℝ≥0)

ZEROS

Distinct625
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.51434925
Minimum0
Maximum100
Zeros8062
Zeros (%)28.0%
Memory size449.7 KiB
2021-07-17T19:58:13.153452image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median11.71428571
Q321
95-th percentile38
Maximum100
Range100
Interquartile range (IQR)21

Descriptive statistics

Standard deviation13.25181989
Coefficient of variation (CV)0.980574029
Kurtosis2.225385717
Mean13.51434925
Median Absolute Deviation (MAD)10.57142857
Skewness1.196860889
Sum388970
Variance175.6107304
MonotocityNot monotonic
2021-07-17T19:58:13.272449image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0806228.0%
 
165331.9%
 
223151.1%
 
203061.1%
 
173011.0%
 
82751.0%
 
17.142857142620.9%
 
152450.9%
 
16.285714292320.8%
 
192310.8%
 
212180.8%
 
11.428571432160.8%
 
182140.7%
 
72120.7%
 
242060.7%
 
8.5714285712010.7%
 
9.1428571431960.7%
 
121940.7%
 
61880.7%
 
12.857142861740.6%
 
19.285714291470.5%
 
10.857142861460.5%
 
111440.5%
 
231360.5%
 
31300.5%
 
Other values (600)1529853.2%
 
ValueCountFrequency (%) 
0806228.0%
 
1580.2%
 
1.142857143190.1%
 
1.142857143180.1%
 
1.2857142867< 0.1%
 
1.2857142867< 0.1%
 
1.4285714299< 0.1%
 
1.428571429150.1%
 
1.5714285719< 0.1%
 
1.571428571180.1%
 
ValueCountFrequency (%) 
1003< 0.1%
 
96.285714292< 0.1%
 
951< 0.1%
 
931< 0.1%
 
92.714285711< 0.1%
 
92.571428572< 0.1%
 
921< 0.1%
 
88.857142862< 0.1%
 
85.714285712< 0.1%
 
85.714285711< 0.1%
 

pandemia
Real number (ℝ≥0)

ZEROS

Distinct357
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.756167049
Minimum0
Maximum91
Zeros1800
Zeros (%)6.3%
Memory size449.7 KiB
2021-07-17T19:58:13.391416image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.428571429
median3.714285714
Q35.571428571
95-th percentile13
Maximum91
Range91
Interquartile range (IQR)3.142857143

Descriptive statistics

Standard deviation4.553630644
Coefficient of variation (CV)0.9574160446
Kurtosis29.1627097
Mean4.756167049
Median Absolute Deviation (MAD)1.571428571
Skewness3.792507172
Sum136892
Variance20.73555204
MonotocityNot monotonic
2021-07-17T19:58:13.502448image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
321597.5%
 
018006.3%
 
417055.9%
 
216075.6%
 
510163.5%
 
3.2857142866582.3%
 
3.7142857146552.3%
 
16552.3%
 
2.8571428576352.2%
 
3.8571428576212.2%
 
2.2857142865962.1%
 
3.1428571435662.0%
 
2.7142857144971.7%
 
4.4285714294731.6%
 
2.1428571434641.6%
 
4.7142857144401.5%
 
63861.3%
 
4.5714285713521.2%
 
3.4285714293411.2%
 
4.2857142863281.1%
 
2.5714285713261.1%
 
3.4285714293241.1%
 
3.5714285713231.1%
 
4.1428571433181.1%
 
3.5714285713121.1%
 
Other values (332)1122539.0%
 
ValueCountFrequency (%) 
018006.3%
 
0.1428571429450.2%
 
0.1428571429630.2%
 
0.2857142857670.2%
 
0.2857142857810.3%
 
0.4285714286620.2%
 
0.4285714286630.2%
 
0.428571428611< 0.1%
 
0.57142857141470.5%
 
0.5714285714250.1%
 
ValueCountFrequency (%) 
911< 0.1%
 
81.571428571< 0.1%
 
781< 0.1%
 
72.142857141< 0.1%
 
651< 0.1%
 
62.714285711< 0.1%
 
621< 0.1%
 
53.285714291< 0.1%
 
53.142857141< 0.1%
 
53.142857141< 0.1%
 

pfizer
Real number (ℝ≥0)

ZEROS

Distinct459
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.132270169
Minimum0
Maximum97
Zeros10071
Zeros (%)35.0%
Memory size449.7 KiB
2021-07-17T19:58:13.612467image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.8571428571
Q39.428571429
95-th percentile27.14285714
Maximum97
Range97
Interquartile range (IQR)9.428571429

Descriptive statistics

Standard deviation9.322262365
Coefficient of variation (CV)1.520197595
Kurtosis5.675810211
Mean6.132270169
Median Absolute Deviation (MAD)0.8571428571
Skewness2.081326956
Sum176499
Variance86.9045756
MonotocityNot monotonic
2021-07-17T19:58:13.745454image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01007135.0%
 
114054.9%
 
0.57142857147202.5%
 
0.85714285713911.4%
 
0.85714285713831.3%
 
0.28571428573761.3%
 
0.28571428573731.3%
 
0.42857142863511.2%
 
0.71428571433451.2%
 
83431.2%
 
0.14285714293391.2%
 
0.42857142863391.2%
 
0.71428571433351.2%
 
0.14285714293351.2%
 
102560.9%
 
61970.7%
 
91790.6%
 
21690.6%
 
111660.6%
 
8.8571428571590.6%
 
7.4285714291470.5%
 
6.5714285711450.5%
 
71430.5%
 
41420.5%
 
51420.5%
 
Other values (434)1083137.6%
 
ValueCountFrequency (%) 
01007135.0%
 
0.14285714293351.2%
 
0.14285714293391.2%
 
0.28571428573731.3%
 
0.28571428573761.3%
 
0.42857142863511.2%
 
0.42857142863391.2%
 
0.42857142867< 0.1%
 
0.57142857147202.5%
 
0.5714285714380.1%
 
ValueCountFrequency (%) 
971< 0.1%
 
961< 0.1%
 
951< 0.1%
 
941< 0.1%
 
931< 0.1%
 
921< 0.1%
 
911< 0.1%
 
901< 0.1%
 
88.714285711< 0.1%
 
80.428571431< 0.1%
 

respiración asistida
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size449.7 KiB
0
28782 
ValueCountFrequency (%) 
028782100.0%
 
2021-07-17T19:58:13.821434image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

sars
Real number (ℝ≥0)

ZEROS

Distinct796
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.94454868
Minimum0
Maximum100
Zeros5609
Zeros (%)19.5%
Memory size449.7 KiB
2021-07-17T19:58:13.893416image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.142857143
median10.57142857
Q319.71428571
95-th percentile51
Maximum100
Range100
Interquartile range (IQR)16.57142857

Descriptive statistics

Standard deviation17.14744114
Coefficient of variation (CV)1.147404416
Kurtosis6.07385657
Mean14.94454868
Median Absolute Deviation (MAD)8
Skewness2.238948569
Sum430134
Variance294.0347377
MonotocityNot monotonic
2021-07-17T19:58:14.011448image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0560919.5%
 
85291.8%
 
184441.5%
 
134201.5%
 
64201.5%
 
93781.3%
 
123301.1%
 
12.857142863291.1%
 
103181.1%
 
263171.1%
 
8.5714285712841.0%
 
32761.0%
 
142670.9%
 
11.142857142480.9%
 
162300.8%
 
152210.8%
 
6.4285714292090.7%
 
4.2857142862000.7%
 
41880.7%
 
15.428571431800.6%
 
5.7142857141780.6%
 
17.142857141760.6%
 
51710.6%
 
9.4285714291620.6%
 
7.4285714291590.6%
 
Other values (771)1653957.5%
 
ValueCountFrequency (%) 
0560919.5%
 
0.42857142868< 0.1%
 
0.7142857143240.1%
 
0.7142857143400.1%
 
0.8571428571190.1%
 
0.85714285719< 0.1%
 
18< 0.1%
 
1.142857143220.1%
 
1.142857143380.1%
 
1.285714286160.1%
 
ValueCountFrequency (%) 
100420.1%
 
98.857142864< 0.1%
 
98.4285714310< 0.1%
 
97.857142864< 0.1%
 
97.714285714< 0.1%
 
973< 0.1%
 
96.8571428610< 0.1%
 
96.714285712< 0.1%
 
96.571428574< 0.1%
 
95.8571428610< 0.1%
 

tanatorio
Real number (ℝ≥0)

ZEROS

Distinct847
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.16381766
Minimum0
Maximum100
Zeros1068
Zeros (%)3.7%
Memory size449.7 KiB
2021-07-17T19:58:14.127453image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.285714286
Q18.714285714
median13.57142857
Q358
95-th percentile78
Maximum100
Range100
Interquartile range (IQR)49.28571429

Descriptive statistics

Standard deviation27.3730485
Coefficient of variation (CV)0.8783599237
Kurtosis-1.232597742
Mean31.16381766
Median Absolute Deviation (MAD)8.571428571
Skewness0.5876209911
Sum896957
Variance749.2837844
MonotocityNot monotonic
2021-07-17T19:58:14.246416image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
010683.7%
 
86952.4%
 
105501.9%
 
115191.8%
 
123761.3%
 
63731.3%
 
73671.3%
 
11.142857142670.9%
 
92650.9%
 
132590.9%
 
11.428571432320.8%
 
52300.8%
 
11.857142862240.8%
 
8.5714285712210.8%
 
10.571428572200.8%
 
9.4285714292140.7%
 
11.571428572140.7%
 
7.7142857142120.7%
 
141990.7%
 
8.8571428571960.7%
 
10.142857141860.6%
 
621860.6%
 
7.4285714291830.6%
 
7.2857142861820.6%
 
10.857142861770.6%
 
Other values (822)2096772.8%
 
ValueCountFrequency (%) 
010683.7%
 
0.85714285711< 0.1%
 
12< 0.1%
 
1.1428571432< 0.1%
 
1.2857142861< 0.1%
 
1.2857142862< 0.1%
 
1.4285714292< 0.1%
 
1.4285714291< 0.1%
 
1.5714285712< 0.1%
 
1.7142857143< 0.1%
 
ValueCountFrequency (%) 
1009< 0.1%
 
99.714285712< 0.1%
 
99.428571433< 0.1%
 
99.285714292< 0.1%
 
99.142857142< 0.1%
 
991< 0.1%
 
98.857142863< 0.1%
 
98.571428575< 0.1%
 
98.285714293< 0.1%
 
985< 0.1%
 

temperatura
Real number (ℝ≥0)

Distinct781
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.80578139
Minimum0
Maximum100
Zeros251
Zeros (%)0.9%
Memory size449.7 KiB
2021-07-17T19:58:14.366449image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21.42857143
Q130.42857143
median37
Q344.42857143
95-th percentile64.57142857
Maximum100
Range100
Interquartile range (IQR)14

Descriptive statistics

Standard deviation14.23121541
Coefficient of variation (CV)0.3667292578
Kurtosis3.487373218
Mean38.80578139
Median Absolute Deviation (MAD)7
Skewness1.211646566
Sum1116908
Variance202.527492
MonotocityNot monotonic
2021-07-17T19:58:14.480424image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
324461.5%
 
393101.1%
 
353011.0%
 
422911.0%
 
382901.0%
 
402861.0%
 
492580.9%
 
312560.9%
 
02510.9%
 
302460.9%
 
332350.8%
 
362350.8%
 
412300.8%
 
282270.8%
 
262190.8%
 
37.285714292040.7%
 
371990.7%
 
451920.7%
 
37.571428571900.7%
 
34.285714291880.7%
 
291880.7%
 
38.142857141860.6%
 
33.571428571840.6%
 
341830.6%
 
37.714285711730.6%
 
Other values (756)2281479.3%
 
ValueCountFrequency (%) 
02510.9%
 
2.1428571431< 0.1%
 
2.1428571431< 0.1%
 
2.4285714291< 0.1%
 
2.5714285711< 0.1%
 
2.5714285711< 0.1%
 
2.7142857144< 0.1%
 
2.7142857145< 0.1%
 
2.8571428575< 0.1%
 
2.8571428576< 0.1%
 
ValueCountFrequency (%) 
100530.2%
 
99.285714298< 0.1%
 
992< 0.1%
 
98.571428578< 0.1%
 
98.1428571410< 0.1%
 
97.8571428611< 0.1%
 
97.571428572< 0.1%
 
97.285714291< 0.1%
 
97.142857148< 0.1%
 
973< 0.1%
 

toque de queda
Real number (ℝ≥0)

ZEROS

Distinct692
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.303349316
Minimum0
Maximum100
Zeros11375
Zeros (%)39.5%
Memory size449.7 KiB
2021-07-17T19:58:14.597446image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q311
95-th percentile37
Maximum100
Range100
Interquartile range (IQR)11

Descriptive statistics

Standard deviation14.7525578
Coefficient of variation (CV)1.776699647
Kurtosis10.54521682
Mean8.303349316
Median Absolute Deviation (MAD)1
Skewness2.939521956
Sum238987
Variance217.6379616
MonotocityNot monotonic
2021-07-17T19:58:14.720415image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01137539.5%
 
19593.3%
 
0.57142857144491.6%
 
0.85714285712660.9%
 
22540.9%
 
0.28571428572530.9%
 
0.85714285712410.8%
 
0.28571428572280.8%
 
92250.8%
 
0.42857142862210.8%
 
0.71428571432090.7%
 
0.14285714292090.7%
 
42070.7%
 
101970.7%
 
0.71428571431950.7%
 
121920.7%
 
0.14285714291890.7%
 
0.42857142861890.7%
 
1.1428571431650.6%
 
51610.6%
 
31500.5%
 
71360.5%
 
1.4285714291220.4%
 
9.8571428571180.4%
 
81170.4%
 
Other values (667)1175540.8%
 
ValueCountFrequency (%) 
01137539.5%
 
0.14285714292090.7%
 
0.14285714291890.7%
 
0.28571428572530.9%
 
0.28571428572280.8%
 
0.42857142862210.8%
 
0.42857142861890.7%
 
0.428571428613< 0.1%
 
0.57142857144491.6%
 
0.5714285714480.2%
 
ValueCountFrequency (%) 
100530.2%
 
95.714285711< 0.1%
 
95.142857144< 0.1%
 
951< 0.1%
 
94.428571432< 0.1%
 
941< 0.1%
 
93.428571433< 0.1%
 
92.8571428610< 0.1%
 
92.714285714< 0.1%
 
92.428571432< 0.1%
 

tos
Real number (ℝ≥0)

ZEROS

Distinct296
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.397435897
Minimum0
Maximum100
Zeros1152
Zeros (%)4.0%
Memory size449.7 KiB
2021-07-17T19:58:14.844450image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4285714286
Q11.714285714
median2.571428571
Q34
95-th percentile9
Maximum100
Range100
Interquartile range (IQR)2.285714286

Descriptive statistics

Standard deviation3.41627128
Coefficient of variation (CV)1.005543999
Kurtosis112.0430213
Mean3.397435897
Median Absolute Deviation (MAD)1.142857143
Skewness6.712484818
Sum97785
Variance11.67090946
MonotocityNot monotonic
2021-07-17T19:58:14.974415image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2351512.2%
 
124728.6%
 
319696.8%
 
411564.0%
 
011524.0%
 
2.2857142867332.5%
 
2.8571428577232.5%
 
1.8571428576802.4%
 
2.7142857146392.2%
 
1.1428571435872.0%
 
55862.0%
 
1.4285714295852.0%
 
2.1428571435812.0%
 
3.7142857145722.0%
 
3.1428571435712.0%
 
1.5714285715642.0%
 
3.2857142864211.5%
 
3.8571428573961.4%
 
2.5714285713471.2%
 
2.5714285713391.2%
 
1.7142857143341.2%
 
1.2857142863331.2%
 
1.7142857143251.1%
 
63241.1%
 
1.2857142863141.1%
 
Other values (271)856429.8%
 
ValueCountFrequency (%) 
011524.0%
 
0.1428571429450.2%
 
0.1428571429370.1%
 
0.2857142857720.3%
 
0.2857142857650.2%
 
0.4285714286630.2%
 
0.4285714286370.1%
 
0.4285714286170.1%
 
0.57142857141300.5%
 
0.5714285714540.2%
 
ValueCountFrequency (%) 
1001< 0.1%
 
92.857142861< 0.1%
 
89.428571431< 0.1%
 
85.714285711< 0.1%
 
78.857142861< 0.1%
 
78.571428571< 0.1%
 
71.428571431< 0.1%
 
68.285714291< 0.1%
 
64.285714291< 0.1%
 
57.714285711< 0.1%
 

uci
Real number (ℝ≥0)

ZEROS

Distinct864
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.64377041
Minimum0
Maximum100
Zeros2377
Zeros (%)8.3%
Memory size449.7 KiB
2021-07-17T19:58:15.110419image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112.14285714
median21.71428571
Q332
95-th percentile62.27857143
Maximum100
Range100
Interquartile range (IQR)19.85714286

Descriptive statistics

Standard deviation18.69836497
Coefficient of variation (CV)0.7587461114
Kurtosis2.701291624
Mean24.64377041
Median Absolute Deviation (MAD)9.714285714
Skewness1.410942157
Sum709297
Variance349.6288526
MonotocityNot monotonic
2021-07-17T19:58:15.259418image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
023778.3%
 
224351.5%
 
173701.3%
 
113491.2%
 
73401.2%
 
83321.2%
 
313311.2%
 
162700.9%
 
152640.9%
 
232280.8%
 
272240.8%
 
132200.8%
 
192180.8%
 
262050.7%
 
122020.7%
 
182010.7%
 
202010.7%
 
241940.7%
 
251830.6%
 
101800.6%
 
211680.6%
 
291510.5%
 
18.857142861460.5%
 
281430.5%
 
22.285714291430.5%
 
Other values (839)2070771.9%
 
ValueCountFrequency (%) 
023778.3%
 
0.85714285714< 0.1%
 
0.85714285714< 0.1%
 
16< 0.1%
 
1.1428571435< 0.1%
 
1.14285714311< 0.1%
 
1.2857142865< 0.1%
 
1.42857142910< 0.1%
 
1.4285714298< 0.1%
 
1.571428571150.1%
 
ValueCountFrequency (%) 
100540.2%
 
99.857142861< 0.1%
 
99.714285715< 0.1%
 
99.571428571< 0.1%
 
99.42857143180.1%
 
99.285714291< 0.1%
 
99.142857145< 0.1%
 
991< 0.1%
 
98.85714286170.1%
 
98.571428574< 0.1%
 

vacuna
Real number (ℝ≥0)

ZEROS

Distinct105
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.351295949
Minimum0
Maximum12
Zeros4630
Zeros (%)16.1%
Memory size449.7 KiB
2021-07-17T19:58:16.548445image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.7142857143
median1
Q32
95-th percentile3.571428571
Maximum12
Range12
Interquartile range (IQR)1.285714286

Descriptive statistics

Standard deviation1.233091102
Coefficient of variation (CV)0.9125248269
Kurtosis7.955431044
Mean1.351295949
Median Absolute Deviation (MAD)0.5714285714
Skewness2.088353929
Sum38893
Variance1.520513665
MonotocityNot monotonic
2021-07-17T19:58:16.688451image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
11058836.8%
 
0463016.1%
 
227389.5%
 
316995.9%
 
0.57142857145251.8%
 
1.8571428574431.5%
 
1.1428571434321.5%
 
1.4285714294251.5%
 
1.5714285714201.5%
 
43881.3%
 
0.85714285712951.0%
 
0.28571428572921.0%
 
0.42857142862851.0%
 
0.14285714292821.0%
 
0.71428571432821.0%
 
2.7142857142580.9%
 
2.1428571432520.9%
 
1.7142857142510.9%
 
1.2857142862460.9%
 
2.2857142862450.9%
 
0.85714285712410.8%
 
0.28571428572400.8%
 
2.8571428572390.8%
 
0.71428571432330.8%
 
0.42857142862320.8%
 
Other values (80)26219.1%
 
ValueCountFrequency (%) 
0463016.1%
 
0.14285714292821.0%
 
0.14285714292320.8%
 
0.28571428572921.0%
 
0.28571428572400.8%
 
0.42857142862851.0%
 
0.42857142862320.8%
 
0.42857142861< 0.1%
 
0.57142857145251.8%
 
0.57142857149< 0.1%
 
ValueCountFrequency (%) 
122< 0.1%
 
11.428571432< 0.1%
 
10.857142864< 0.1%
 
10.285714292< 0.1%
 
104< 0.1%
 
9.8571428574< 0.1%
 
9.7142857142< 0.1%
 
9.7142857146< 0.1%
 
9.5714285718< 0.1%
 
9.4285714294< 0.1%
 

Code comunidad autónoma alpha
Categorical

HIGH CORRELATION

Distinct19
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size449.7 KiB
CL
5330 
AN
4264 
CM
2665 
GA
2132 
CT
2132 
Other values (14)
12259 
ValueCountFrequency (%) 
CL533018.5%
 
AN426414.8%
 
CM26659.3%
 
GA21327.4%
 
CT21327.4%
 
PV15995.6%
 
AR15995.6%
 
VC15995.6%
 
CN10663.7%
 
EX10663.7%
 
NC10663.7%
 
IB5331.9%
 
MC5331.9%
 
MD5331.9%
 
RI5331.9%
 
ML5331.9%
 
CB5331.9%
 
AS5331.9%
 
CE5331.9%
 
2021-07-17T19:58:16.834448image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-07-17T19:58:16.950453image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length2
Median length2
Mean length2
Min length2

Overview of Unicode Properties

Unique unicode characters16
Unique unicode categories1 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
C1545726.9%
 
A852814.8%
 
N639611.1%
 
L586310.2%
 
M42647.4%
 
V31985.6%
 
R21323.7%
 
T21323.7%
 
G21323.7%
 
E15992.8%
 
P15992.8%
 
B10661.9%
 
X10661.9%
 
I10661.9%
 
S5330.9%
 
D5330.9%
 

Most occurring categories

ValueCountFrequency (%) 
Uppercase Letter57564100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
C1545726.9%
 
A852814.8%
 
N639611.1%
 
L586310.2%
 
M42647.4%
 
V31985.6%
 
R21323.7%
 
T21323.7%
 
G21323.7%
 
E15992.8%
 
P15992.8%
 
B10661.9%
 
X10661.9%
 
I10661.9%
 
S5330.9%
 
D5330.9%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin57564100.0%
 

Most frequent Latin characters

ValueCountFrequency (%) 
C1545726.9%
 
A852814.8%
 
N639611.1%
 
L586310.2%
 
M42647.4%
 
V31985.6%
 
R21323.7%
 
T21323.7%
 
G21323.7%
 
E15992.8%
 
P15992.8%
 
B10661.9%
 
X10661.9%
 
I10661.9%
 
S5330.9%
 
D5330.9%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII57564100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
C1545726.9%
 
A852814.8%
 
N639611.1%
 
L586310.2%
 
M42647.4%
 
V31985.6%
 
R21323.7%
 
T21323.7%
 
G21323.7%
 
E15992.8%
 
P15992.8%
 
B10661.9%
 
X10661.9%
 
I10661.9%
 
S5330.9%
 
D5330.9%
 

Code provincia alpha
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct54
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size449.7 KiB
V
 
533
NC
 
533
AB
 
533
CU
 
533
M
 
533
Other values (49)
26117 
ValueCountFrequency (%) 
V5331.9%
 
NC5331.9%
 
AB5331.9%
 
CU5331.9%
 
M5331.9%
 
BA5331.9%
 
LE5331.9%
 
CA5331.9%
 
PM5331.9%
 
ML5331.9%
 
BI5331.9%
 
CR5331.9%
 
SE5331.9%
 
LO5331.9%
 
SG5331.9%
 
SO5331.9%
 
CE5331.9%
 
AV5331.9%
 
CL5331.9%
 
S5331.9%
 
T5331.9%
 
SA5331.9%
 
A5331.9%
 
VI5331.9%
 
Z5331.9%
 
Other values (29)1545753.7%
 
2021-07-17T19:58:17.066419image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-07-17T19:58:17.173417image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length2
Median length2
Mean length1.759259259
Min length1

Overview of Unicode Properties

Unique unicode characters20
Unique unicode categories1 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
C639612.6%
 
A586311.6%
 
S42648.4%
 
L37317.4%
 
O37317.4%
 
U31986.3%
 
G26655.3%
 
M26655.3%
 
B26655.3%
 
E21324.2%
 
T21324.2%
 
V21324.2%
 
R15993.2%
 
P15993.2%
 
I15993.2%
 
H10662.1%
 
Z10662.1%
 
N10662.1%
 
J5331.1%
 
F5331.1%
 

Most occurring categories

ValueCountFrequency (%) 
Uppercase Letter50635100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
C639612.6%
 
A586311.6%
 
S42648.4%
 
L37317.4%
 
O37317.4%
 
U31986.3%
 
G26655.3%
 
M26655.3%
 
B26655.3%
 
E21324.2%
 
T21324.2%
 
V21324.2%
 
R15993.2%
 
P15993.2%
 
I15993.2%
 
H10662.1%
 
Z10662.1%
 
N10662.1%
 
J5331.1%
 
F5331.1%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin50635100.0%
 

Most frequent Latin characters

ValueCountFrequency (%) 
C639612.6%
 
A586311.6%
 
S42648.4%
 
L37317.4%
 
O37317.4%
 
U31986.3%
 
G26655.3%
 
M26655.3%
 
B26655.3%
 
E21324.2%
 
T21324.2%
 
V21324.2%
 
R15993.2%
 
P15993.2%
 
I15993.2%
 
H10662.1%
 
Z10662.1%
 
N10662.1%
 
J5331.1%
 
F5331.1%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII50635100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
C639612.6%
 
A586311.6%
 
S42648.4%
 
L37317.4%
 
O37317.4%
 
U31986.3%
 
G26655.3%
 
M26655.3%
 
B26655.3%
 
E21324.2%
 
T21324.2%
 
V21324.2%
 
R15993.2%
 
P15993.2%
 
I15993.2%
 
H10662.1%
 
Z10662.1%
 
N10662.1%
 
J5331.1%
 
F5331.1%
 

Interactions

2021-07-17T19:56:58.272054image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:56:58.372055image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:56:58.487018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:56:58.595019image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:56:58.691051image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:56:58.788018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:56:58.889018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:56:58.984018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:56:59.084018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:56:59.179018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:56:59.274051image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:56:59.367048image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:56:59.462018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:56:59.557018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:56:59.650018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:56:59.750018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:56:59.844018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:56:59.938054image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:00.030049image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:00.124017image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:00.225016image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:00.328017image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:00.428051image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:00.528053image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:00.623050image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:00.717051image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:00.812051image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:00.908051image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:01.003020image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:01.101051image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:01.198020image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:01.298019image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:01.407017image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:01.500057image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:01.600017image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:01.694018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:01.788018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:01.880050image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:01.978019image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:02.078019image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:02.177051image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:02.282051image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:02.376018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:02.471018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:02.563017image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:02.657018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:02.751018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:02.849017image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:02.943017image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:03.039017image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:03.136018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:03.230017image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:03.326016image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:03.424017image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:03.523050image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:03.623050image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:03.718053image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:03.817051image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:03.923051image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:04.020018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:04.123018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:04.220018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:04.316017image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:04.412017image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:04.510051image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:04.607018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:04.704018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:04.808018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:04.907018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:05.008018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:05.107018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:05.207018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:05.306018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:05.405019image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:05.504019image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:05.603019image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:05.702018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:05.801018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:05.905019image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:05.998018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:06.093018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:06.189018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:06.280018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:06.378020image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:06.474021image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:06.565018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:06.663018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:06.753022image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:06.844021image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:06.934020image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:07.027021image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:07.120023image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:07.214021image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:07.315021image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:07.409020image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:07.504023image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:07.594020image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:07.688021image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:07.782021image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:07.879020image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:07.973021image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:08.066021image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:08.160021image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:08.252021image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:08.347018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:08.444018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:08.540017image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:08.638018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:08.733017image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:08.831017image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:08.933018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:09.029018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:09.133018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:09.228018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:09.322019image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:09.417018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
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2021-07-17T19:57:51.351698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:51.452700image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:51.554729image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:51.660700image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:51.767729image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:51.883698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:51.988731image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:52.090698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:52.201733image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:52.308705image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:52.421731image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:52.530737image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:52.629730image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:52.726699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:52.824699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:52.921698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:53.019698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:53.122698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:53.219698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:53.318698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:53.413698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:53.511698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:53.609699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:53.709698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:53.811698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:53.914698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:54.015698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:54.115733image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:54.216697image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:54.315697image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:54.416734image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:54.517702image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:54.615701image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:54.716731image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:54.823698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:54.925698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:55.040698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:55.144698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:55.246698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:55.346698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:55.458699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:55.559699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:55.661697image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:55.770697image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:55.892699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:55.995697image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:56.097698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:56.200697image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:56.307698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:56.412699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:56.515697image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:56.617698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:56.723697image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:56.826698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:56.934697image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:57.034698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:57.139698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:57.241698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:57.342700image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:57.442698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:57.550698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:57.650697image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:57.761698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:57.865698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:57.965699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:58.062698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:58.165699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:58.264698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:58.366699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:58.472697image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:58.575700image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:58.681697image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:58.778698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:58.882701image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:58.982700image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:59.086700image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:59.186700image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:59.291702image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:59.392699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:59.492699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:59.593698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:59.695699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:59.796698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:59.900698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:57:59.997698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:00.096699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:00.200699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:00.300731image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:00.406700image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:00.509702image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:00.606700image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:00.706701image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:00.808704image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:00.925699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:01.034699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:01.145699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:01.244699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:01.344699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:01.446698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:01.544697image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:01.643700image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:01.743702image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:01.846699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:01.944699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:02.049700image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:02.150698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:02.249698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:02.353698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:02.456699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:02.556698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:02.653698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:02.759709image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:02.867736image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:02.967736image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:03.076699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:03.170732image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:03.262733image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:03.352731image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:03.448731image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:03.542734image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:03.636734image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:03.735732image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:03.832699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:03.931698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:04.029698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:04.128729image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:04.230698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:04.328736image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:04.425699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:04.522698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:04.618733image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:04.717732image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:04.819698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:04.920732image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:05.023697image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:05.126700image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:05.227700image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:05.332700image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:05.440698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:05.536732image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:05.644697image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:05.745733image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:05.855698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:05.958699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:06.061698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:06.166698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:06.266698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:06.377698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:06.489697image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:06.599702image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:06.702701image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:06.804701image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:06.906701image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:07.009703image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:07.108701image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:07.211702image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:07.313701image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:07.416701image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Correlations

2021-07-17T19:58:17.288449image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-07-17T19:58:17.547415image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2021-07-17T19:58:17.816415image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-07-17T19:58:18.077415image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.
2021-07-17T19:58:18.285415image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2021-07-17T19:58:07.712698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:08.468731image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Sample

First rows

fechaambulanciaastrazenecacementerioconfinamientocoronaviruscoviddolorenfermaenfermoenfermo terminalentubadofiebrehospitalinfectadosjanssenmuertepaliativospandemiapfizerrespiración asistidasarstanatoriotemperaturatoque de quedatosucivacunaCode comunidad autónoma alphaCode provincia alpha
02020-01-0555.0000000.07.00.00.00.066.00000013.00000036.0000000.00.013.00000044.0000000.00.030.00000024.0000000.00.00.03.012.00000044.0000000.06.026.0000000.0ANAL
12020-01-0555.0000000.07.00.00.00.066.00000013.00000036.0000000.00.013.00000044.0000000.00.030.00000024.0000000.00.00.03.012.00000044.0000000.06.026.0000000.0ANCA
22020-01-0555.0000000.07.00.00.00.066.00000013.00000036.0000000.00.013.00000044.0000000.00.030.00000024.0000000.00.00.03.012.00000044.0000000.06.026.0000000.0ANCO
32020-01-0555.0000000.07.00.00.00.066.00000013.00000036.0000000.00.013.00000044.0000000.00.030.00000024.0000000.00.00.03.012.00000044.0000000.06.026.0000000.0ANGR
42020-01-0555.0000000.07.00.00.00.066.00000013.00000036.0000000.00.013.00000044.0000000.00.030.00000024.0000000.00.00.03.012.00000044.0000000.06.026.0000000.0ANH
52020-01-0555.0000000.07.00.00.00.066.00000013.00000036.0000000.00.013.00000044.0000000.00.030.00000024.0000000.00.00.03.012.00000044.0000000.06.026.0000000.0ANJ
62020-01-0555.0000000.07.00.00.00.066.00000013.00000036.0000000.00.013.00000044.0000000.00.030.00000024.0000000.00.00.03.012.00000044.0000000.06.026.0000000.0ANMA
72020-01-0555.0000000.07.00.00.00.066.00000013.00000036.0000000.00.013.00000044.0000000.00.030.00000024.0000000.00.00.03.012.00000044.0000000.06.026.0000000.0ANSE
82020-01-0653.2857140.07.00.00.00.065.42857111.57142934.7142860.00.013.42857144.8571430.00.029.57142923.5714290.00.00.03.011.85714345.1428570.06.024.8571430.0ANAL
92020-01-0653.2857140.07.00.00.00.065.42857111.57142934.7142860.00.013.42857144.8571430.00.029.57142923.5714290.00.00.03.011.85714345.1428570.06.024.8571430.0ANCA

Last rows

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